Скачать или смотреть Can AI Improve Safety Signal Detection In Phase 4 Trials? - Trials and Treatments Uncovered

Can AI Improve Safety Signal Detection In Phase 4 Trials? Have you ever wondered how new medicines are monitored for safety after they are approved? In this video, we’ll explain how safety signals are detected during Phase 4 clinical trials. We’ll start by describing what safety signal detection involves and why it’s essential for patient safety. We’ll discuss how traditional methods rely on manual review of reports and data, which can be time-consuming and sometimes miss important issues. Then, we’ll introduce how artificial intelligence (AI) is transforming this process by analyzing large amounts of data quickly and accurately. You’ll learn about the different data sources used in these studies, such as electronic health records, adverse event reports, patient registries, and even social media posts. We’ll explain how AI’s machine learning algorithms identify patterns and relationships that might be difficult for humans to see, helping detect potential risks early. Additionally, we’ll cover the benefits of continuous, real-time monitoring and how this improves response times and patient safety. We’ll also discuss the importance of data quality, human oversight, and ethical considerations like privacy and transparency. Join us to discover how AI can make safety monitoring in clinical trials more effective and reliable, ultimately protecting patients and improving healthcare.

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About Us: Welcome to Trials and Treatments Uncovered, your trusted resource for understanding clinical trials. Our channel focuses on answering your most pressing questions like Should I Join a Clinical Trial? and How do I talk to my doctor about trials?. We discuss topics such as clinical trial expectations, financial support for participation, and emotional considerations throughout the trial process. You’ll also find information on accessing cutting-edge treatments, hearing patient stories, and deciding between standard care and trials, along with details on trial locations and logistics, and long-term follow-ups after trials.